Frame averaging for invariant and equivariant network design O Puny, M Atzmon, H Ben-Hamu, I Misra, A Grover, EJ Smith, Y Lipman arXiv preprint arXiv:2110.03336, 2021 | 142 | 2021 |
Equivariant polynomials for graph neural networks O Puny, D Lim, B Kiani, H Maron, Y Lipman International Conference on Machine Learning, 28191-28222, 2023 | 44 | 2023 |
Global attention improves graph networks generalization O Puny, H Ben-Hamu, Y Lipman arXiv preprint arXiv:2006.07846, 2020 | 32 | 2020 |
D-flow: Differentiating through flows for controlled generation H Ben-Hamu, O Puny, I Gat, B Karrer, U Singer, Y Lipman arXiv preprint arXiv:2402.14017, 2024 | 26 | 2024 |
Mosaic-sdf for 3d generative models L Yariv, O Puny, O Gafni, Y Lipman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 24 | 2024 |
From graph low-rank global attention to 2-fwl approximation O Puny, H Ben-Hamu, Y Lipman arXiv preprint arXiv:2006.07846, 2020 | 23 | 2020 |
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs A Bercovich, T Ronen, T Abramovich, N Ailon, N Assaf, M Dabbah, I Galil, ... arXiv preprint arXiv:2411.19146, 2024 | 2 | 2024 |